А global cloud-based information security company EPAM is currently looking for a Lead Data Analyst.
This position is a part of the new innovative program EPAM Anywhere, which gives an opportunity to work remotely in multidisciplinary teams on global projects that define the future – of technology, collaboration and learning.
Responsibilities
- Build and deploy models to monitor hundreds of metric time series across millions of users
- Develop models to predict the expected value of a set of time series metrics based on both time and location
- Design and build machine learning models to generate smart and actionable alerts by filtering and aggregating
- Investigate anomalies in metrics and summarize the findings to fellow engineers and company leadership
- Collaborate with engineering teams working on data and analytics infrastructure
Requirements
- MS degree in statistics, operations research, machine-learning
- 5+ years of experience doing statistical modeling
- Proficiency in implementing statistical models in production-grade code
- Profound working knowledge of modeling platforms like TensorFlow, SAS, R, MATLAB
- Solid experience dealing with large datasets
- Curiosity and interest in time-series anomaly detection
- 1+ year of relevant leadership experience
Nice to have
- 5+ years of experience working with cross-functional teams
- Profound experience with distributed computing like Spark
- Solid experience developing ETL pipeline
We offer
- Competitive compensation depending on experience and skills
- Work on enterprise-level projects on a long-term basis
- Full-time remote work
- Unlimited access to learning resources (EPAM training courses, English classes, Internal Library)
- Community of 38,000+ industry’s top professionals.
